no code implementations • 15 Apr 2024 • Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan
This paper proposes the HyperMono model for hyper-relational knowledge graph completion, which realizes stage reasoning and qualifier monotonicity.
1 code implementation • 1 Apr 2024 • Yijun Yang, Jie He, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan
We hypothesize that simultaneously debiasing these objectives can be the key to generalisation over unseen prompts.
1 code implementation • 18 Oct 2023 • Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan
Knowledge graph entity typing (KGET) aims at inferring plausible types of entities in knowledge graphs.
1 code implementation • 8 Oct 2023 • Simon Chi Lok U, Jie He, Víctor Gutiérrez-Basulto, Jeff Z. Pan
Hierarchical multi-label text classification (HMTC) aims at utilizing a label hierarchy in multi-label classification.
1 code implementation • 14 Aug 2023 • Akash Anil, Víctor Gutiérrez-Basulto, Yazmín Ibañéz-García, Steven Schockaert
The task of inductive knowledge graph completion requires models to learn inference patterns from a training graph, which can then be used to make predictions on a disjoint test graph.
1 code implementation • 12 Aug 2023 • Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan
Hyper-relational knowledge graph completion (HKGC) aims at inferring unknown triples while considering its qualifiers.
no code implementations • 26 May 2023 • Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García
In the recently proposed Lace framework for collective entity resolution, logical rules and constraints are used to identify pairs of entity references (e. g. author or paper ids) that denote the same entity.
no code implementations • 25 May 2023 • Jie He, Simon Chi Lok U, Víctor Gutiérrez-Basulto, Jeff Z. Pan
Unsupervised commonsense reasoning (UCR) is becoming increasingly popular as the construction of commonsense reasoning datasets is expensive, and they are inevitably limited in their scope.
1 code implementation • 20 Oct 2022 • Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types.
1 code implementation • 2 May 2022 • Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, XiaoLi Li, Ru Li, Jeff Z. Pan
Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly challenging problem as traditional subgraph matching methods are not capable to deal with noise and missing information.
no code implementations • 10 May 2021 • Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto
Ontologies formalise how the concepts from a given domain are interrelated.
no code implementations • 17 Nov 2020 • Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung
We study query answering in the description logic $\mathcal{SQ}$ supporting qualified number restrictions on both transitive and non-transitive roles.
no code implementations • 22 Oct 2020 • Thomas Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak
We study the description logic SQ with number restrictions applicable to transitive roles, extended with either nominals or inverse roles.
no code implementations • 30 Jun 2020 • Tomasz Gogacz, Víctor Gutiérrez-Basulto, Albert Gutowski, Yazmín Ibáñez-García, Filip Murlak
We study the problem of finite entailment of ontology-mediated queries.
no code implementations • 25 Jun 2020 • Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto, Steven Schockaert
In this paper, we instead propose an inductive inference mechanism which is based on a clear model-theoretic semantics, and can thus be tightly integrated with standard deductive reasoning.
no code implementations • 3 Jul 2018 • Víctor Gutiérrez-Basulto, Jean Christoph Jung, Ondrej Kuzelka
Markov Logic Networks (MLNs) are well-suited for expressing statistics such as "with high probability a smoker knows another smoker" but not for expressing statements such as "there is a smoker who knows most other smokers", which is necessary for modeling, e. g. influencers in social networks.
no code implementations • 26 May 2018 • Víctor Gutiérrez-Basulto, Steven Schockaert
To address this shortcoming, in this paper we introduce a general framework based on a view of relations as regions, which allows us to study the compatibility between ontological knowledge and different types of vector space embeddings.